Information theory /
The book presents the historical evolution of Information Theory, along with the basic concepts linked to information. It discusses the information associated to a certain source and the usual types of source codes, the information transmission, joint information, conditional entropy, mutual informa...
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Main Author: | |
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Format: | Electronic eBook |
Language: | English |
Published: |
New York, [New York] (222 East 46th Street, New York, NY 10017) :
Momentum Press,
2015.
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Series: | Communications and signal processing collection.
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Subjects: | |
Online Access: | An electronic book accessible through the World Wide Web; click to view |
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Table of Contents:
- 1. Information theory
- 1.1 Information measurement
- 1.2 Requirements for an information metric
- 2. Sources of information
- 2.1 Source coding
- 2.2 Extension of a memoryless discrete source
- 2.3 Prefix codes
- 2.4 The information unit
- 3. Source coding
- 3.1 Types of source codes
- 3.2 Construction of instantaneous codes
- 3.3 Kraft inequality
- 3.4 Huffman code
- 4. Information transmission
- 4.1 The concept of information theory
- 4.2 Joint information measurement
- 4.3 Conditional entropy
- 4.4 Model for a communication channel
- 4.5 Noiseless channel
- 4.6 Channel with independent output and input
- 4.7 Relations between the entropies
- 4.8 Mutual information
- 4.9 Channel capacity
- 5. Multiple access systems
- 5.1 Introduction
- 5.2 The Gaussian multiple access channel
- 5.3 The Gaussian channel with Rayleigh fading
- 5.4 The noncooperative multiple access channel
- 5.5 Multiple access in a dynamic environment
- 5.6 Analysis of the capacity for a Markovian multiple access channel
- 6. Code division multiple access
- 6.1 Introduction
- 6.2 Fundamentals of spread spectrum signals
- 6.3 Performance analysis of CDMA systems
- 6.4 Sequence design
- 7. The capacity of a CDMA system
- 7.1 Introduction
- 7.2 Analysis of a CDMA system with a fixed number of users and small SNR
- 7.3 CDMA system with a fixed number of users and high SNR
- 7.4 A tight bound on the capacity of a CDMA system
- 8. Theoretical cryptography
- 8.1 Introduction
- 8.2 Cryptographic aspects of computer networks
- 8.3 Principles of cryptography
- 8.4 Information theoretical aspects of cryptography
- 8.5 Mutual information for cryptosystems
- Appendix A. Probability theory
- Set theory and measure
- Basic probability theory
- Random variables
- References
- About the author
- Index.